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94
changelog.md
94
changelog.md
@@ -1,5 +1,99 @@
|
||||
# Changelog
|
||||
|
||||
## 2025-08-01 - 0.5.9 - fix(documentation)
|
||||
Remove contribution section from readme
|
||||
|
||||
- Removed the contribution section from readme.md as requested
|
||||
- Kept the roadmap section for future development plans
|
||||
|
||||
## 2025-08-01 - 0.5.8 - fix(core)
|
||||
Fix SmartPdf lifecycle management and update dependencies
|
||||
|
||||
- Moved SmartPdf instance management to the MultiModalModel base class for better resource sharing
|
||||
- Fixed memory leaks by properly implementing cleanup in the base class stop() method
|
||||
- Updated SmartAi class to properly stop all providers on shutdown
|
||||
- Updated @push.rocks/smartrequest from v2.1.0 to v4.2.1 with migration to new API
|
||||
- Enhanced readme with professional documentation and feature matrix
|
||||
|
||||
## 2025-07-26 - 0.5.7 - fix(provider.openai)
|
||||
Fix stream type mismatch in audio method
|
||||
|
||||
- Fixed type error where OpenAI SDK returns a web ReadableStream but the audio method needs to return a Node.js ReadableStream
|
||||
- Added conversion using Node.js's built-in Readable.fromWeb() method
|
||||
|
||||
## 2025-07-25 - 0.5.5 - feat(documentation)
|
||||
Comprehensive documentation enhancement and test improvements
|
||||
|
||||
- Completely rewrote readme.md with detailed provider comparisons, advanced usage examples, and performance tips
|
||||
- Added comprehensive examples for all supported providers (OpenAI, Anthropic, Perplexity, Groq, XAI, Ollama, Exo)
|
||||
- Included detailed sections on chat interactions, streaming, TTS, vision processing, and document analysis
|
||||
- Added verbose flag to test script for better debugging
|
||||
|
||||
## 2025-05-13 - 0.5.4 - fix(provider.openai)
|
||||
Update dependency versions, clean test imports, and adjust default OpenAI model configurations
|
||||
|
||||
- Bump dependency versions in package.json (@git.zone/tsbuild, @push.rocks/tapbundle, openai, etc.)
|
||||
- Change default chatModel from 'gpt-4o' to 'o4-mini' and visionModel from 'gpt-4o' to '04-mini' in provider.openai.ts
|
||||
- Remove unused 'expectAsync' import from test file
|
||||
|
||||
## 2025-04-03 - 0.5.3 - fix(package.json)
|
||||
Add explicit packageManager field to package.json
|
||||
|
||||
- Include the packageManager property to specify the pnpm version and checksum.
|
||||
- Align package metadata with current standards.
|
||||
|
||||
## 2025-04-03 - 0.5.2 - fix(readme)
|
||||
Remove redundant conclusion section from README to streamline documentation.
|
||||
|
||||
- Eliminated the conclusion block describing SmartAi's capabilities and documentation pointers.
|
||||
|
||||
## 2025-02-25 - 0.5.1 - fix(OpenAiProvider)
|
||||
Corrected audio model ID in OpenAiProvider
|
||||
|
||||
- Fixed audio model identifier from 'o3-mini' to 'tts-1-hd' in the OpenAiProvider's audio method.
|
||||
- Addressed minor code formatting issues in test suite for better readability.
|
||||
- Corrected spelling errors in test documentation and comments.
|
||||
|
||||
## 2025-02-25 - 0.5.0 - feat(documentation and configuration)
|
||||
Enhanced package and README documentation
|
||||
|
||||
- Expanded the package description to better reflect the library's capabilities.
|
||||
- Improved README with detailed usage examples for initialization, chat interactions, streaming chat, audio generation, document analysis, and vision processing.
|
||||
- Provided error handling strategies and advanced streaming customization examples.
|
||||
|
||||
## 2025-02-25 - 0.4.2 - fix(core)
|
||||
Fix OpenAI chat streaming and PDF document processing logic.
|
||||
|
||||
- Updated OpenAI chat streaming to handle new async iterable format.
|
||||
- Improved PDF document processing by filtering out empty image buffers.
|
||||
- Removed unsupported temperature options from OpenAI requests.
|
||||
|
||||
## 2025-02-25 - 0.4.1 - fix(provider)
|
||||
Fix provider modules for consistency
|
||||
|
||||
- Updated TypeScript interfaces and options in provider modules for better type safety.
|
||||
- Modified transform stream handlers in Exo, Groq, and Ollama providers for consistency.
|
||||
- Added optional model options to OpenAI provider for custom model usage.
|
||||
|
||||
## 2025-02-08 - 0.4.0 - feat(core)
|
||||
Added support for Exo AI provider
|
||||
|
||||
- Introduced ExoProvider with chat functionalities.
|
||||
- Updated SmartAi class to initialize ExoProvider.
|
||||
- Extended Conversation class to support ExoProvider.
|
||||
|
||||
## 2025-02-05 - 0.3.3 - fix(documentation)
|
||||
Update readme with detailed license and legal information.
|
||||
|
||||
- Added explicit section on License and Legal Information in the README.
|
||||
- Clarified the use of trademarks and company information.
|
||||
|
||||
## 2025-02-05 - 0.3.2 - fix(documentation)
|
||||
Remove redundant badges from readme
|
||||
|
||||
- Removed Build Status badge from the readme file.
|
||||
- Removed License badge from the readme file.
|
||||
|
||||
## 2025-02-05 - 0.3.1 - fix(documentation)
|
||||
Updated README structure and added detailed usage examples
|
||||
|
||||
|
||||
@@ -5,20 +5,33 @@
|
||||
"githost": "code.foss.global",
|
||||
"gitscope": "push.rocks",
|
||||
"gitrepo": "smartai",
|
||||
"description": "A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.",
|
||||
"description": "SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.",
|
||||
"npmPackagename": "@push.rocks/smartai",
|
||||
"license": "MIT",
|
||||
"projectDomain": "push.rocks",
|
||||
"keywords": [
|
||||
"AI integration",
|
||||
"chatbot",
|
||||
"TypeScript",
|
||||
"chatbot",
|
||||
"OpenAI",
|
||||
"Anthropic",
|
||||
"multi-model support",
|
||||
"audio responses",
|
||||
"multi-model",
|
||||
"audio generation",
|
||||
"text-to-speech",
|
||||
"streaming chat"
|
||||
"document processing",
|
||||
"vision processing",
|
||||
"streaming chat",
|
||||
"API",
|
||||
"multiple providers",
|
||||
"AI models",
|
||||
"synchronous chat",
|
||||
"asynchronous chat",
|
||||
"real-time interaction",
|
||||
"content analysis",
|
||||
"image description",
|
||||
"document classification",
|
||||
"AI toolkit",
|
||||
"provider switching"
|
||||
]
|
||||
}
|
||||
},
|
||||
|
||||
66
package.json
66
package.json
@@ -1,37 +1,37 @@
|
||||
{
|
||||
"name": "@push.rocks/smartai",
|
||||
"version": "0.3.1",
|
||||
"version": "0.5.9",
|
||||
"private": false,
|
||||
"description": "A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.",
|
||||
"description": "SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.",
|
||||
"main": "dist_ts/index.js",
|
||||
"typings": "dist_ts/index.d.ts",
|
||||
"type": "module",
|
||||
"author": "Task Venture Capital GmbH",
|
||||
"license": "MIT",
|
||||
"scripts": {
|
||||
"test": "(tstest test/ --web)",
|
||||
"test": "(tstest test/ --web --verbose)",
|
||||
"build": "(tsbuild --web --allowimplicitany)",
|
||||
"buildDocs": "(tsdoc)"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@git.zone/tsbuild": "^2.1.84",
|
||||
"@git.zone/tsbundle": "^2.0.5",
|
||||
"@git.zone/tsrun": "^1.2.49",
|
||||
"@git.zone/tstest": "^1.0.90",
|
||||
"@push.rocks/qenv": "^6.0.5",
|
||||
"@push.rocks/tapbundle": "^5.3.0",
|
||||
"@types/node": "^22.5.5"
|
||||
"@git.zone/tsbuild": "^2.6.4",
|
||||
"@git.zone/tsbundle": "^2.5.1",
|
||||
"@git.zone/tsrun": "^1.3.3",
|
||||
"@git.zone/tstest": "^2.3.2",
|
||||
"@push.rocks/qenv": "^6.1.0",
|
||||
"@push.rocks/tapbundle": "^6.0.3",
|
||||
"@types/node": "^22.15.17"
|
||||
},
|
||||
"dependencies": {
|
||||
"@anthropic-ai/sdk": "^0.27.3",
|
||||
"@push.rocks/smartarray": "^1.0.8",
|
||||
"@push.rocks/smartfile": "^11.0.21",
|
||||
"@push.rocks/smartpath": "^5.0.18",
|
||||
"@push.rocks/smartpdf": "^3.1.6",
|
||||
"@push.rocks/smartpromise": "^4.0.4",
|
||||
"@push.rocks/smartrequest": "^2.0.22",
|
||||
"@anthropic-ai/sdk": "^0.57.0",
|
||||
"@push.rocks/smartarray": "^1.1.0",
|
||||
"@push.rocks/smartfile": "^11.2.5",
|
||||
"@push.rocks/smartpath": "^6.0.0",
|
||||
"@push.rocks/smartpdf": "^3.3.0",
|
||||
"@push.rocks/smartpromise": "^4.2.3",
|
||||
"@push.rocks/smartrequest": "^4.2.1",
|
||||
"@push.rocks/webstream": "^1.0.10",
|
||||
"openai": "^4.62.1"
|
||||
"openai": "^5.11.0"
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
@@ -58,13 +58,33 @@
|
||||
],
|
||||
"keywords": [
|
||||
"AI integration",
|
||||
"chatbot",
|
||||
"TypeScript",
|
||||
"chatbot",
|
||||
"OpenAI",
|
||||
"Anthropic",
|
||||
"multi-model support",
|
||||
"audio responses",
|
||||
"multi-model",
|
||||
"audio generation",
|
||||
"text-to-speech",
|
||||
"streaming chat"
|
||||
]
|
||||
"document processing",
|
||||
"vision processing",
|
||||
"streaming chat",
|
||||
"API",
|
||||
"multiple providers",
|
||||
"AI models",
|
||||
"synchronous chat",
|
||||
"asynchronous chat",
|
||||
"real-time interaction",
|
||||
"content analysis",
|
||||
"image description",
|
||||
"document classification",
|
||||
"AI toolkit",
|
||||
"provider switching"
|
||||
],
|
||||
"pnpm": {
|
||||
"onlyBuiltDependencies": [
|
||||
"esbuild",
|
||||
"puppeteer"
|
||||
]
|
||||
},
|
||||
"packageManager": "pnpm@10.7.0+sha512.6b865ad4b62a1d9842b61d674a393903b871d9244954f652b8842c2b553c72176b278f64c463e52d40fff8aba385c235c8c9ecf5cc7de4fd78b8bb6d49633ab6"
|
||||
}
|
||||
|
||||
8222
pnpm-lock.yaml
generated
8222
pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
629
readme.md
629
readme.md
@@ -1,333 +1,482 @@
|
||||
# @push.rocks/smartai
|
||||
**One API to rule them all** 🚀
|
||||
|
||||
[](https://www.npmjs.com/package/@push.rocks/smartai)
|
||||
[](https://github.com/push.rocks/smartai/actions)
|
||||
[](LICENSE)
|
||||
[](https://www.npmjs.com/package/@push.rocks/smartai)
|
||||
[](https://www.typescriptlang.org/)
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
|
||||
SmartAi is a comprehensive TypeScript library that provides a standardized interface for integrating and interacting with multiple AI models. It supports a range of operations from synchronous and streaming chat to audio generation, document processing, and vision tasks.
|
||||
SmartAI unifies the world's leading AI providers - OpenAI, Anthropic, Perplexity, Ollama, Groq, XAI, and Exo - under a single, elegant TypeScript interface. Build AI applications at lightning speed without vendor lock-in.
|
||||
|
||||
## Table of Contents
|
||||
## 🎯 Why SmartAI?
|
||||
|
||||
- [Features](#features)
|
||||
- [Installation](#installation)
|
||||
- [Supported AI Providers](#supported-ai-providers)
|
||||
- [Quick Start](#quick-start)
|
||||
- [Usage Examples](#usage-examples)
|
||||
- [Chat Interactions](#chat-interactions)
|
||||
- [Streaming Chat](#streaming-chat)
|
||||
- [Audio Generation](#audio-generation)
|
||||
- [Document Processing](#document-processing)
|
||||
- [Vision Processing](#vision-processing)
|
||||
- [Error Handling](#error-handling)
|
||||
- [Development](#development)
|
||||
- [Running Tests](#running-tests)
|
||||
- [Building the Project](#building-the-project)
|
||||
- [Contributing](#contributing)
|
||||
- [License](#license)
|
||||
- [Legal Information](#legal-information)
|
||||
- **🔌 Universal Interface**: Write once, run with any AI provider. Switch between GPT-4, Claude, Llama, or Grok with a single line change.
|
||||
- **🛡️ Type-Safe**: Full TypeScript support with comprehensive type definitions for all operations
|
||||
- **🌊 Streaming First**: Built for real-time applications with native streaming support
|
||||
- **🎨 Multi-Modal**: Seamlessly work with text, images, audio, and documents
|
||||
- **🏠 Local & Cloud**: Support for both cloud providers and local models via Ollama
|
||||
- **⚡ Zero Lock-In**: Your code remains portable across all AI providers
|
||||
|
||||
## Features
|
||||
|
||||
- **Unified API:** Seamlessly integrate multiple AI providers with a consistent interface.
|
||||
- **Chat & Streaming:** Support for both synchronous and real-time streaming chat interactions.
|
||||
- **Audio & Vision:** Generate audio responses and perform detailed image analysis.
|
||||
- **Document Processing:** Analyze PDFs and other documents using vision models.
|
||||
- **Extensible:** Easily extend the library to support additional AI providers.
|
||||
|
||||
## Installation
|
||||
|
||||
To install SmartAi, run the following command:
|
||||
## 🚀 Quick Start
|
||||
|
||||
```bash
|
||||
npm install @push.rocks/smartai
|
||||
```
|
||||
|
||||
This will add the package to your project’s dependencies.
|
||||
|
||||
## Supported AI Providers
|
||||
|
||||
SmartAi supports multiple AI providers. Configure each provider with its corresponding token or settings:
|
||||
|
||||
### OpenAI
|
||||
|
||||
- **Models:** GPT-4, GPT-3.5-turbo, GPT-4-vision-preview
|
||||
- **Features:** Chat, Streaming, Audio Generation, Vision, Document Processing
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
openaiToken: 'your-openai-token'
|
||||
```
|
||||
|
||||
### X.AI
|
||||
|
||||
- **Models:** Grok-2-latest
|
||||
- **Features:** Chat, Streaming, Document Processing
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
xaiToken: 'your-xai-token'
|
||||
```
|
||||
|
||||
### Anthropic
|
||||
|
||||
- **Models:** Claude-3-opus-20240229
|
||||
- **Features:** Chat, Streaming, Vision, Document Processing
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
anthropicToken: 'your-anthropic-token'
|
||||
```
|
||||
|
||||
### Perplexity
|
||||
|
||||
- **Models:** Mixtral-8x7b-instruct
|
||||
- **Features:** Chat, Streaming
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
perplexityToken: 'your-perplexity-token'
|
||||
```
|
||||
|
||||
### Groq
|
||||
|
||||
- **Models:** Llama-3.3-70b-versatile
|
||||
- **Features:** Chat, Streaming
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
groqToken: 'your-groq-token'
|
||||
```
|
||||
|
||||
### Ollama
|
||||
|
||||
- **Models:** Configurable (default: llama2; use llava for vision/document tasks)
|
||||
- **Features:** Chat, Streaming, Vision, Document Processing
|
||||
- **Configuration Example:**
|
||||
|
||||
```typescript
|
||||
ollama: {
|
||||
baseUrl: 'http://localhost:11434', // Optional
|
||||
model: 'llama2', // Optional
|
||||
visionModel: 'llava' // Optional for vision and document tasks
|
||||
}
|
||||
```
|
||||
|
||||
## Quick Start
|
||||
|
||||
Initialize SmartAi with the provider configurations you plan to use:
|
||||
|
||||
```typescript
|
||||
import { SmartAi } from '@push.rocks/smartai';
|
||||
|
||||
const smartAi = new SmartAi({
|
||||
openaiToken: 'your-openai-token',
|
||||
xaiToken: 'your-xai-token',
|
||||
anthropicToken: 'your-anthropic-token',
|
||||
perplexityToken: 'your-perplexity-token',
|
||||
groqToken: 'your-groq-token',
|
||||
ollama: {
|
||||
baseUrl: 'http://localhost:11434',
|
||||
model: 'llama2'
|
||||
}
|
||||
// Initialize with your favorite providers
|
||||
const ai = new SmartAi({
|
||||
openaiToken: 'sk-...',
|
||||
anthropicToken: 'sk-ant-...'
|
||||
});
|
||||
|
||||
await smartAi.start();
|
||||
```
|
||||
await ai.start();
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Chat Interactions
|
||||
|
||||
**Synchronous Chat:**
|
||||
|
||||
```typescript
|
||||
const response = await smartAi.openaiProvider.chat({
|
||||
// Same API, multiple providers
|
||||
const response = await ai.openaiProvider.chat({
|
||||
systemMessage: 'You are a helpful assistant.',
|
||||
userMessage: 'What is the capital of France?',
|
||||
messageHistory: [] // Include previous conversation messages if applicable
|
||||
userMessage: 'Explain quantum computing in simple terms',
|
||||
messageHistory: []
|
||||
});
|
||||
|
||||
console.log(response.message);
|
||||
```
|
||||
|
||||
### Streaming Chat
|
||||
## 📊 Provider Capabilities Matrix
|
||||
|
||||
**Real-Time Streaming:**
|
||||
Choose the right provider for your use case:
|
||||
|
||||
| Provider | Chat | Streaming | TTS | Vision | Documents | Highlights |
|
||||
|----------|:----:|:---------:|:---:|:------:|:---------:|------------|
|
||||
| **OpenAI** | ✅ | ✅ | ✅ | ✅ | ✅ | • GPT-4, DALL-E 3<br>• Industry standard<br>• Most features |
|
||||
| **Anthropic** | ✅ | ✅ | ❌ | ✅ | ✅ | • Claude 3 Opus<br>• Superior reasoning<br>• 200k context |
|
||||
| **Ollama** | ✅ | ✅ | ❌ | ✅ | ✅ | • 100% local<br>• Privacy-first<br>• No API costs |
|
||||
| **XAI** | ✅ | ✅ | ❌ | ❌ | ✅ | • Grok models<br>• Real-time data<br>• Uncensored |
|
||||
| **Perplexity** | ✅ | ✅ | ❌ | ❌ | ❌ | • Web-aware<br>• Research-focused<br>• Citations |
|
||||
| **Groq** | ✅ | ✅ | ❌ | ❌ | ❌ | • 10x faster<br>• LPU inference<br>• Low latency |
|
||||
| **Exo** | ✅ | ✅ | ❌ | ❌ | ❌ | • Distributed<br>• P2P compute<br>• Decentralized |
|
||||
|
||||
## 🎮 Core Features
|
||||
|
||||
### 💬 Universal Chat Interface
|
||||
|
||||
Works identically across all providers:
|
||||
|
||||
```typescript
|
||||
const textEncoder = new TextEncoder();
|
||||
const textDecoder = new TextDecoder();
|
||||
// Use GPT-4 for complex reasoning
|
||||
const gptResponse = await ai.openaiProvider.chat({
|
||||
systemMessage: 'You are a expert physicist.',
|
||||
userMessage: 'Explain the implications of quantum entanglement',
|
||||
messageHistory: []
|
||||
});
|
||||
|
||||
// Create a transform stream for sending and receiving data
|
||||
const { writable, readable } = new TransformStream();
|
||||
const writer = writable.getWriter();
|
||||
// Use Claude for safety-critical applications
|
||||
const claudeResponse = await ai.anthropicProvider.chat({
|
||||
systemMessage: 'You are a medical advisor.',
|
||||
userMessage: 'Review this patient data for concerns',
|
||||
messageHistory: []
|
||||
});
|
||||
|
||||
const message = {
|
||||
role: 'user',
|
||||
content: 'Tell me a story about a brave knight'
|
||||
};
|
||||
// Use Groq for lightning-fast responses
|
||||
const groqResponse = await ai.groqProvider.chat({
|
||||
systemMessage: 'You are a code reviewer.',
|
||||
userMessage: 'Quick! Find the bug in this code: ...',
|
||||
messageHistory: []
|
||||
});
|
||||
```
|
||||
|
||||
writer.write(textEncoder.encode(JSON.stringify(message) + '\n'));
|
||||
### 🌊 Real-Time Streaming
|
||||
|
||||
// Start streaming the response
|
||||
const stream = await smartAi.openaiProvider.chatStream(readable);
|
||||
Build responsive chat interfaces with token-by-token streaming:
|
||||
|
||||
```typescript
|
||||
// Create a chat stream
|
||||
const stream = await ai.openaiProvider.chatStream(inputStream);
|
||||
const reader = stream.getReader();
|
||||
|
||||
// Display responses as they arrive
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) break;
|
||||
console.log('AI:', value);
|
||||
|
||||
// Update UI in real-time
|
||||
process.stdout.write(value);
|
||||
}
|
||||
```
|
||||
|
||||
### Audio Generation
|
||||
### 🎙️ Text-to-Speech
|
||||
|
||||
Generate audio (supported by providers like OpenAI):
|
||||
Generate natural voices with OpenAI:
|
||||
|
||||
```typescript
|
||||
const audioStream = await smartAi.openaiProvider.audio({
|
||||
message: 'Hello, this is a test of text-to-speech'
|
||||
const audioStream = await ai.openaiProvider.audio({
|
||||
message: 'Welcome to the future of AI development!'
|
||||
});
|
||||
|
||||
// Process the audio stream, for example, play it or save to a file.
|
||||
// Stream directly to speakers
|
||||
audioStream.pipe(speakerOutput);
|
||||
|
||||
// Or save to file
|
||||
audioStream.pipe(fs.createWriteStream('welcome.mp3'));
|
||||
```
|
||||
|
||||
### Document Processing
|
||||
### 👁️ Vision Analysis
|
||||
|
||||
Analyze and extract key information from documents:
|
||||
Understand images with multiple providers:
|
||||
|
||||
```typescript
|
||||
// Example using OpenAI
|
||||
const documentResult = await smartAi.openaiProvider.document({
|
||||
systemMessage: 'Classify the document type',
|
||||
userMessage: 'What type of document is this?',
|
||||
const image = fs.readFileSync('product-photo.jpg');
|
||||
|
||||
// OpenAI: General purpose vision
|
||||
const gptVision = await ai.openaiProvider.vision({
|
||||
image,
|
||||
prompt: 'Describe this product and suggest marketing angles'
|
||||
});
|
||||
|
||||
// Anthropic: Detailed analysis
|
||||
const claudeVision = await ai.anthropicProvider.vision({
|
||||
image,
|
||||
prompt: 'Identify any safety concerns or defects'
|
||||
});
|
||||
|
||||
// Ollama: Private, local analysis
|
||||
const ollamaVision = await ai.ollamaProvider.vision({
|
||||
image,
|
||||
prompt: 'Extract all text and categorize the content'
|
||||
});
|
||||
```
|
||||
|
||||
### 📄 Document Intelligence
|
||||
|
||||
Extract insights from PDFs with AI:
|
||||
|
||||
```typescript
|
||||
const contract = fs.readFileSync('contract.pdf');
|
||||
const invoice = fs.readFileSync('invoice.pdf');
|
||||
|
||||
// Analyze documents
|
||||
const analysis = await ai.openaiProvider.document({
|
||||
systemMessage: 'You are a legal expert.',
|
||||
userMessage: 'Compare these documents and highlight key differences',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfBuffer] // Uint8Array containing the PDF content
|
||||
pdfDocuments: [contract, invoice]
|
||||
});
|
||||
```
|
||||
|
||||
Other providers (e.g., Ollama and Anthropic) follow a similar pattern:
|
||||
|
||||
```typescript
|
||||
// Using Ollama for document processing
|
||||
const ollamaResult = await smartAi.ollamaProvider.document({
|
||||
systemMessage: 'You are a document analysis assistant',
|
||||
userMessage: 'Extract key information from this document',
|
||||
// Multi-document analysis
|
||||
const taxDocs = [form1099, w2, receipts];
|
||||
const taxAnalysis = await ai.anthropicProvider.document({
|
||||
systemMessage: 'You are a tax advisor.',
|
||||
userMessage: 'Prepare a tax summary from these documents',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfBuffer]
|
||||
pdfDocuments: taxDocs
|
||||
});
|
||||
```
|
||||
|
||||
### 🔄 Persistent Conversations
|
||||
|
||||
Maintain context across interactions:
|
||||
|
||||
```typescript
|
||||
// Using Anthropic for document processing
|
||||
const anthropicResult = await smartAi.anthropicProvider.document({
|
||||
systemMessage: 'Analyze the document',
|
||||
userMessage: 'Please extract the main points',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfBuffer]
|
||||
});
|
||||
// Create a coding assistant conversation
|
||||
const assistant = ai.createConversation('openai');
|
||||
await assistant.setSystemMessage('You are an expert TypeScript developer.');
|
||||
|
||||
// First question
|
||||
const inputWriter = assistant.getInputStreamWriter();
|
||||
await inputWriter.write('How do I implement a singleton pattern?');
|
||||
|
||||
// Continue the conversation
|
||||
await inputWriter.write('Now show me how to make it thread-safe');
|
||||
|
||||
// The assistant remembers the entire context
|
||||
```
|
||||
|
||||
### Vision Processing
|
||||
## 🚀 Real-World Examples
|
||||
|
||||
Analyze images with vision capabilities:
|
||||
### Build a Customer Support Bot
|
||||
|
||||
```typescript
|
||||
// Using OpenAI GPT-4 Vision
|
||||
const imageDescription = await smartAi.openaiProvider.vision({
|
||||
image: imageBuffer, // Uint8Array containing image data
|
||||
prompt: 'What do you see in this image?'
|
||||
const supportBot = new SmartAi({
|
||||
anthropicToken: process.env.ANTHROPIC_KEY // Claude for empathetic responses
|
||||
});
|
||||
|
||||
// Using Ollama for vision tasks
|
||||
const ollamaImageAnalysis = await smartAi.ollamaProvider.vision({
|
||||
image: imageBuffer,
|
||||
prompt: 'Analyze this image in detail'
|
||||
});
|
||||
|
||||
// Using Anthropic for vision analysis
|
||||
const anthropicImageAnalysis = await smartAi.anthropicProvider.vision({
|
||||
image: imageBuffer,
|
||||
prompt: 'Describe the contents of this image'
|
||||
});
|
||||
async function handleCustomerQuery(query: string, history: ChatMessage[]) {
|
||||
try {
|
||||
const response = await supportBot.anthropicProvider.chat({
|
||||
systemMessage: `You are a helpful customer support agent.
|
||||
Be empathetic, professional, and solution-oriented.`,
|
||||
userMessage: query,
|
||||
messageHistory: history
|
||||
});
|
||||
|
||||
return response.message;
|
||||
} catch (error) {
|
||||
// Fallback to another provider if needed
|
||||
return await supportBot.openaiProvider.chat({...});
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Error Handling
|
||||
|
||||
Always wrap API calls in try-catch blocks to manage errors effectively:
|
||||
### Create a Code Review Assistant
|
||||
|
||||
```typescript
|
||||
try {
|
||||
const response = await smartAi.openaiProvider.chat({
|
||||
systemMessage: 'You are a helpful assistant.',
|
||||
userMessage: 'Hello!',
|
||||
const codeReviewer = new SmartAi({
|
||||
groqToken: process.env.GROQ_KEY // Groq for speed
|
||||
});
|
||||
|
||||
async function reviewCode(code: string, language: string) {
|
||||
const startTime = Date.now();
|
||||
|
||||
const review = await codeReviewer.groqProvider.chat({
|
||||
systemMessage: `You are a ${language} expert. Review code for:
|
||||
- Security vulnerabilities
|
||||
- Performance issues
|
||||
- Best practices
|
||||
- Potential bugs`,
|
||||
userMessage: `Review this code:\n\n${code}`,
|
||||
messageHistory: []
|
||||
});
|
||||
console.log(response.message);
|
||||
} catch (error: any) {
|
||||
console.error('AI provider error:', error.message);
|
||||
|
||||
console.log(`Review completed in ${Date.now() - startTime}ms`);
|
||||
return review.message;
|
||||
}
|
||||
```
|
||||
|
||||
## Development
|
||||
### Build a Research Assistant
|
||||
|
||||
### Running Tests
|
||||
```typescript
|
||||
const researcher = new SmartAi({
|
||||
perplexityToken: process.env.PERPLEXITY_KEY
|
||||
});
|
||||
|
||||
To run the test suite, use the following command:
|
||||
|
||||
```bash
|
||||
npm run test
|
||||
async function research(topic: string) {
|
||||
// Perplexity excels at web-aware research
|
||||
const findings = await researcher.perplexityProvider.chat({
|
||||
systemMessage: 'You are a research assistant. Provide factual, cited information.',
|
||||
userMessage: `Research the latest developments in ${topic}`,
|
||||
messageHistory: []
|
||||
});
|
||||
|
||||
return findings.message;
|
||||
}
|
||||
```
|
||||
|
||||
Ensure your environment is configured with the appropriate tokens and settings for the providers you are testing.
|
||||
### Local AI for Sensitive Data
|
||||
|
||||
### Building the Project
|
||||
```typescript
|
||||
const localAI = new SmartAi({
|
||||
ollama: {
|
||||
baseUrl: 'http://localhost:11434',
|
||||
model: 'llama2',
|
||||
visionModel: 'llava'
|
||||
}
|
||||
});
|
||||
|
||||
Compile the TypeScript code and build the package using:
|
||||
|
||||
```bash
|
||||
npm run build
|
||||
// Process sensitive documents without leaving your infrastructure
|
||||
async function analyzeSensitiveDoc(pdfBuffer: Buffer) {
|
||||
const analysis = await localAI.ollamaProvider.document({
|
||||
systemMessage: 'Extract and summarize key information.',
|
||||
userMessage: 'Analyze this confidential document',
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfBuffer]
|
||||
});
|
||||
|
||||
// Data never leaves your servers
|
||||
return analysis.message;
|
||||
}
|
||||
```
|
||||
|
||||
This command prepares the library for distribution.
|
||||
## ⚡ Performance Tips
|
||||
|
||||
## Contributing
|
||||
### 1. Provider Selection Strategy
|
||||
|
||||
Contributions are welcome! Please follow these steps:
|
||||
```typescript
|
||||
class SmartAIRouter {
|
||||
constructor(private ai: SmartAi) {}
|
||||
|
||||
async query(message: string, requirements: {
|
||||
speed?: boolean;
|
||||
accuracy?: boolean;
|
||||
cost?: boolean;
|
||||
privacy?: boolean;
|
||||
}) {
|
||||
if (requirements.privacy) {
|
||||
return this.ai.ollamaProvider.chat({...}); // Local only
|
||||
}
|
||||
if (requirements.speed) {
|
||||
return this.ai.groqProvider.chat({...}); // 10x faster
|
||||
}
|
||||
if (requirements.accuracy) {
|
||||
return this.ai.anthropicProvider.chat({...}); // Best reasoning
|
||||
}
|
||||
// Default fallback
|
||||
return this.ai.openaiProvider.chat({...});
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
1. Fork the repository.
|
||||
2. Create a feature branch:
|
||||
```bash
|
||||
git checkout -b feature/my-feature
|
||||
```
|
||||
3. Commit your changes with clear messages:
|
||||
```bash
|
||||
git commit -m 'Add new feature'
|
||||
```
|
||||
4. Push your branch to your fork:
|
||||
```bash
|
||||
git push origin feature/my-feature
|
||||
```
|
||||
5. Open a Pull Request with a detailed description of your changes.
|
||||
### 2. Streaming for Large Responses
|
||||
|
||||
## License
|
||||
```typescript
|
||||
// Don't wait for the entire response
|
||||
async function streamResponse(userQuery: string) {
|
||||
const stream = await ai.openaiProvider.chatStream(createInputStream(userQuery));
|
||||
|
||||
// Process tokens as they arrive
|
||||
for await (const chunk of stream) {
|
||||
updateUI(chunk); // Immediate feedback
|
||||
await processChunk(chunk); // Parallel processing
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
This project is licensed under the [MIT License](LICENSE).
|
||||
### 3. Parallel Multi-Provider Queries
|
||||
|
||||
## Legal Information
|
||||
```typescript
|
||||
// Get the best answer from multiple AIs
|
||||
async function consensusQuery(question: string) {
|
||||
const providers = [
|
||||
ai.openaiProvider.chat({...}),
|
||||
ai.anthropicProvider.chat({...}),
|
||||
ai.perplexityProvider.chat({...})
|
||||
];
|
||||
|
||||
const responses = await Promise.all(providers);
|
||||
return synthesizeResponses(responses);
|
||||
}
|
||||
```
|
||||
|
||||
## 🛠️ Advanced Features
|
||||
|
||||
### Custom Streaming Transformations
|
||||
|
||||
```typescript
|
||||
// Add real-time translation
|
||||
const translationStream = new TransformStream({
|
||||
async transform(chunk, controller) {
|
||||
const translated = await translateChunk(chunk);
|
||||
controller.enqueue(translated);
|
||||
}
|
||||
});
|
||||
|
||||
const responseStream = await ai.openaiProvider.chatStream(input);
|
||||
const translatedStream = responseStream.pipeThrough(translationStream);
|
||||
```
|
||||
|
||||
### Error Handling & Fallbacks
|
||||
|
||||
```typescript
|
||||
class ResilientAI {
|
||||
private providers = ['openai', 'anthropic', 'groq'];
|
||||
|
||||
async query(opts: ChatOptions): Promise<ChatResponse> {
|
||||
for (const provider of this.providers) {
|
||||
try {
|
||||
return await this.ai[`${provider}Provider`].chat(opts);
|
||||
} catch (error) {
|
||||
console.warn(`${provider} failed, trying next...`);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
throw new Error('All providers failed');
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Token Counting & Cost Management
|
||||
|
||||
```typescript
|
||||
// Track usage across providers
|
||||
class UsageTracker {
|
||||
async trackedChat(provider: string, options: ChatOptions) {
|
||||
const start = Date.now();
|
||||
const response = await ai[`${provider}Provider`].chat(options);
|
||||
|
||||
const usage = {
|
||||
provider,
|
||||
duration: Date.now() - start,
|
||||
inputTokens: estimateTokens(options),
|
||||
outputTokens: estimateTokens(response.message)
|
||||
};
|
||||
|
||||
await this.logUsage(usage);
|
||||
return response;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 📦 Installation & Setup
|
||||
|
||||
### Prerequisites
|
||||
|
||||
- Node.js 16+
|
||||
- TypeScript 4.5+
|
||||
- API keys for your chosen providers
|
||||
|
||||
### Environment Setup
|
||||
|
||||
```bash
|
||||
# Install
|
||||
npm install @push.rocks/smartai
|
||||
|
||||
# Set up environment variables
|
||||
export OPENAI_API_KEY=sk-...
|
||||
export ANTHROPIC_API_KEY=sk-ant-...
|
||||
export PERPLEXITY_API_KEY=pplx-...
|
||||
# ... etc
|
||||
```
|
||||
|
||||
### TypeScript Configuration
|
||||
|
||||
```json
|
||||
{
|
||||
"compilerOptions": {
|
||||
"target": "ES2022",
|
||||
"module": "NodeNext",
|
||||
"lib": ["ES2022"],
|
||||
"strict": true,
|
||||
"esModuleInterop": true,
|
||||
"skipLibCheck": true
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## 🎯 Choosing the Right Provider
|
||||
|
||||
| Use Case | Recommended Provider | Why |
|
||||
|----------|---------------------|-----|
|
||||
| **General Purpose** | OpenAI | Most features, stable, well-documented |
|
||||
| **Complex Reasoning** | Anthropic | Superior logical thinking, safer outputs |
|
||||
| **Research & Facts** | Perplexity | Web-aware, provides citations |
|
||||
| **Speed Critical** | Groq | 10x faster inference, sub-second responses |
|
||||
| **Privacy Critical** | Ollama | 100% local, no data leaves your servers |
|
||||
| **Real-time Data** | XAI | Access to current information |
|
||||
| **Cost Sensitive** | Ollama/Exo | Free (local) or distributed compute |
|
||||
|
||||
## 📈 Roadmap
|
||||
|
||||
- [ ] Streaming function calls
|
||||
- [ ] Image generation support
|
||||
- [ ] Voice input processing
|
||||
- [ ] Fine-tuning integration
|
||||
- [ ] Embedding support
|
||||
- [ ] Agent framework
|
||||
- [ ] More providers (Cohere, AI21, etc.)
|
||||
|
||||
## License and Legal Information
|
||||
|
||||
This repository contains open-source code that is licensed under the MIT License. A copy of the MIT License can be found in the [license](license) file within this repository.
|
||||
|
||||
**Please note:** The MIT License does not grant permission to use the trade names, trademarks, service marks, or product names of the project, except as required for reasonable and customary use in describing the origin of the work and reproducing the content of the NOTICE file.
|
||||
|
||||
### Trademarks
|
||||
|
||||
This project is owned and maintained by Task Venture Capital GmbH. The names and logos associated with Task Venture Capital GmbH and its related products or services are trademarks of Task Venture Capital GmbH and are not covered by the MIT License. Use of these trademarks must comply with Task Venture Capital GmbH's Trademark Guidelines.
|
||||
This project is owned and maintained by Task Venture Capital GmbH. The names and logos associated with Task Venture Capital GmbH and any related products or services are trademarks of Task Venture Capital GmbH and are not included within the scope of the MIT license granted herein. Use of these trademarks must comply with Task Venture Capital GmbH's Trademark Guidelines, and any usage must be approved in writing by Task Venture Capital GmbH.
|
||||
|
||||
### Company Information
|
||||
|
||||
Task Venture Capital GmbH
|
||||
Registered at District Court Bremen HRB 35230 HB, Germany
|
||||
Contact: hello@task.vc
|
||||
Registered at District court Bremen HRB 35230 HB, Germany
|
||||
|
||||
By using this repository, you agree to the terms outlined in this section.
|
||||
For any legal inquiries or if you require further information, please contact us via email at hello@task.vc.
|
||||
|
||||
---
|
||||
|
||||
Happy coding with SmartAi!
|
||||
By using this repository, you acknowledge that you have read this section, agree to comply with its terms, and understand that the licensing of the code does not imply endorsement by Task Venture Capital GmbH of any derivative works.
|
||||
36
test/test.ts
36
test/test.ts
@@ -1,4 +1,4 @@
|
||||
import { expect, expectAsync, tap } from '@push.rocks/tapbundle';
|
||||
import { expect, tap } from '@push.rocks/tapbundle';
|
||||
import * as qenv from '@push.rocks/qenv';
|
||||
import * as smartrequest from '@push.rocks/smartrequest';
|
||||
import * as smartfile from '@push.rocks/smartfile';
|
||||
@@ -21,8 +21,7 @@ tap.test('should create chat response with openai', async () => {
|
||||
const response = await testSmartai.openaiProvider.chat({
|
||||
systemMessage: 'Hello',
|
||||
userMessage: userMessage,
|
||||
messageHistory: [
|
||||
],
|
||||
messageHistory: [],
|
||||
});
|
||||
console.log(`userMessage: ${userMessage}`);
|
||||
console.log(response.message);
|
||||
@@ -30,12 +29,14 @@ tap.test('should create chat response with openai', async () => {
|
||||
|
||||
tap.test('should document a pdf', async () => {
|
||||
const pdfUrl = 'https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf';
|
||||
const pdfResponse = await smartrequest.getBinary(pdfUrl);
|
||||
const pdfResponse = await smartrequest.SmartRequest.create()
|
||||
.url(pdfUrl)
|
||||
.get();
|
||||
const result = await testSmartai.openaiProvider.document({
|
||||
systemMessage: 'Classify the document. Only the following answers are allowed: "invoice", "bank account statement", "contract", "other". The answer should only contain the keyword for machine use.',
|
||||
userMessage: "Classify the document.",
|
||||
messageHistory: [],
|
||||
pdfDocuments: [pdfResponse.body],
|
||||
pdfDocuments: [Buffer.from(await pdfResponse.arrayBuffer())],
|
||||
});
|
||||
console.log(result);
|
||||
});
|
||||
@@ -55,7 +56,7 @@ tap.test('should recognize companies in a pdf', async () => {
|
||||
address: string;
|
||||
city: string;
|
||||
country: string;
|
||||
EU: boolean; // wether the entity is within EU
|
||||
EU: boolean; // whether the entity is within EU
|
||||
};
|
||||
entityReceiver: {
|
||||
type: 'official state entity' | 'company' | 'person';
|
||||
@@ -63,7 +64,7 @@ tap.test('should recognize companies in a pdf', async () => {
|
||||
address: string;
|
||||
city: string;
|
||||
country: string;
|
||||
EU: boolean; // wether the entity is within EU
|
||||
EU: boolean; // whether the entity is within EU
|
||||
};
|
||||
date: string; // the date of the document as YYYY-MM-DD
|
||||
title: string; // a short title, suitable for a filename
|
||||
@@ -75,10 +76,27 @@ tap.test('should recognize companies in a pdf', async () => {
|
||||
pdfDocuments: [pdfBuffer],
|
||||
});
|
||||
console.log(result);
|
||||
})
|
||||
});
|
||||
|
||||
tap.test('should create audio response with openai', async () => {
|
||||
// Call the audio method with a sample message.
|
||||
const audioStream = await testSmartai.openaiProvider.audio({
|
||||
message: 'This is a test of audio generation.',
|
||||
});
|
||||
// Read all chunks from the stream.
|
||||
const chunks: Uint8Array[] = [];
|
||||
for await (const chunk of audioStream) {
|
||||
chunks.push(chunk as Uint8Array);
|
||||
}
|
||||
const audioBuffer = Buffer.concat(chunks);
|
||||
await smartfile.fs.toFs(audioBuffer, './.nogit/testoutput.mp3');
|
||||
console.log(`Audio Buffer length: ${audioBuffer.length}`);
|
||||
// Assert that the resulting buffer is not empty.
|
||||
expect(audioBuffer.length).toBeGreaterThan(0);
|
||||
});
|
||||
|
||||
tap.test('should stop the smartai instance', async () => {
|
||||
await testSmartai.stop();
|
||||
});
|
||||
|
||||
export default tap.start();
|
||||
export default tap.start();
|
||||
@@ -3,6 +3,6 @@
|
||||
*/
|
||||
export const commitinfo = {
|
||||
name: '@push.rocks/smartai',
|
||||
version: '0.3.1',
|
||||
description: 'A TypeScript library for integrating and interacting with multiple AI models, offering capabilities for chat and potentially audio responses.'
|
||||
version: '0.5.4',
|
||||
description: 'SmartAi is a versatile TypeScript library designed to facilitate integration and interaction with various AI models, offering functionalities for chat, audio generation, document processing, and vision tasks.'
|
||||
}
|
||||
|
||||
@@ -1,3 +1,5 @@
|
||||
import * as plugins from './plugins.js';
|
||||
|
||||
/**
|
||||
* Message format for chat interactions
|
||||
*/
|
||||
@@ -28,17 +30,30 @@ export interface ChatResponse {
|
||||
* Provides a common interface for different AI providers (OpenAI, Anthropic, Perplexity, Ollama)
|
||||
*/
|
||||
export abstract class MultiModalModel {
|
||||
/**
|
||||
* SmartPdf instance for document processing
|
||||
* Shared across all methods that need PDF functionality
|
||||
*/
|
||||
protected smartpdfInstance: plugins.smartpdf.SmartPdf;
|
||||
|
||||
/**
|
||||
* Initializes the model and any necessary resources
|
||||
* Should be called before using any other methods
|
||||
*/
|
||||
abstract start(): Promise<void>;
|
||||
public async start(): Promise<void> {
|
||||
this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
|
||||
await this.smartpdfInstance.start();
|
||||
}
|
||||
|
||||
/**
|
||||
* Cleans up any resources used by the model
|
||||
* Should be called when the model is no longer needed
|
||||
*/
|
||||
abstract stop(): Promise<void>;
|
||||
public async stop(): Promise<void> {
|
||||
if (this.smartpdfInstance) {
|
||||
await this.smartpdfInstance.stop();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Synchronous chat interaction with the model
|
||||
|
||||
@@ -48,6 +48,18 @@ export class Conversation {
|
||||
return conversation;
|
||||
}
|
||||
|
||||
public static async createWithExo(smartaiRefArg: SmartAi) {
|
||||
if (!smartaiRefArg.exoProvider) {
|
||||
throw new Error('Exo provider not available');
|
||||
}
|
||||
const conversation = new Conversation(smartaiRefArg, {
|
||||
processFunction: async (input) => {
|
||||
return '' // TODO implement proper streaming
|
||||
}
|
||||
});
|
||||
return conversation;
|
||||
}
|
||||
|
||||
public static async createWithOllama(smartaiRefArg: SmartAi) {
|
||||
if (!smartaiRefArg.ollamaProvider) {
|
||||
throw new Error('Ollama provider not available');
|
||||
@@ -60,6 +72,30 @@ export class Conversation {
|
||||
return conversation;
|
||||
}
|
||||
|
||||
public static async createWithGroq(smartaiRefArg: SmartAi) {
|
||||
if (!smartaiRefArg.groqProvider) {
|
||||
throw new Error('Groq provider not available');
|
||||
}
|
||||
const conversation = new Conversation(smartaiRefArg, {
|
||||
processFunction: async (input) => {
|
||||
return '' // TODO implement proper streaming
|
||||
}
|
||||
});
|
||||
return conversation;
|
||||
}
|
||||
|
||||
public static async createWithXai(smartaiRefArg: SmartAi) {
|
||||
if (!smartaiRefArg.xaiProvider) {
|
||||
throw new Error('XAI provider not available');
|
||||
}
|
||||
const conversation = new Conversation(smartaiRefArg, {
|
||||
processFunction: async (input) => {
|
||||
return '' // TODO implement proper streaming
|
||||
}
|
||||
});
|
||||
return conversation;
|
||||
}
|
||||
|
||||
// INSTANCE
|
||||
smartaiRef: SmartAi
|
||||
private systemMessage: string;
|
||||
|
||||
@@ -1,18 +1,32 @@
|
||||
import { Conversation } from './classes.conversation.js';
|
||||
import * as plugins from './plugins.js';
|
||||
import { AnthropicProvider } from './provider.anthropic.js';
|
||||
import type { OllamaProvider } from './provider.ollama.js';
|
||||
import { OllamaProvider } from './provider.ollama.js';
|
||||
import { OpenAiProvider } from './provider.openai.js';
|
||||
import type { PerplexityProvider } from './provider.perplexity.js';
|
||||
import { PerplexityProvider } from './provider.perplexity.js';
|
||||
import { ExoProvider } from './provider.exo.js';
|
||||
import { GroqProvider } from './provider.groq.js';
|
||||
import { XAIProvider } from './provider.xai.js';
|
||||
|
||||
|
||||
export interface ISmartAiOptions {
|
||||
openaiToken?: string;
|
||||
anthropicToken?: string;
|
||||
perplexityToken?: string;
|
||||
groqToken?: string;
|
||||
xaiToken?: string;
|
||||
exo?: {
|
||||
baseUrl?: string;
|
||||
apiKey?: string;
|
||||
};
|
||||
ollama?: {
|
||||
baseUrl?: string;
|
||||
model?: string;
|
||||
visionModel?: string;
|
||||
};
|
||||
}
|
||||
|
||||
export type TProvider = 'openai' | 'anthropic' | 'perplexity' | 'ollama';
|
||||
export type TProvider = 'openai' | 'anthropic' | 'perplexity' | 'ollama' | 'exo' | 'groq' | 'xai';
|
||||
|
||||
export class SmartAi {
|
||||
public options: ISmartAiOptions;
|
||||
@@ -21,6 +35,9 @@ export class SmartAi {
|
||||
public anthropicProvider: AnthropicProvider;
|
||||
public perplexityProvider: PerplexityProvider;
|
||||
public ollamaProvider: OllamaProvider;
|
||||
public exoProvider: ExoProvider;
|
||||
public groqProvider: GroqProvider;
|
||||
public xaiProvider: XAIProvider;
|
||||
|
||||
constructor(optionsArg: ISmartAiOptions) {
|
||||
this.options = optionsArg;
|
||||
@@ -37,16 +54,74 @@ export class SmartAi {
|
||||
this.anthropicProvider = new AnthropicProvider({
|
||||
anthropicToken: this.options.anthropicToken,
|
||||
});
|
||||
await this.anthropicProvider.start();
|
||||
}
|
||||
if (this.options.perplexityToken) {
|
||||
this.perplexityProvider = new PerplexityProvider({
|
||||
perplexityToken: this.options.perplexityToken,
|
||||
});
|
||||
await this.perplexityProvider.start();
|
||||
}
|
||||
if (this.options.groqToken) {
|
||||
this.groqProvider = new GroqProvider({
|
||||
groqToken: this.options.groqToken,
|
||||
});
|
||||
await this.groqProvider.start();
|
||||
}
|
||||
if (this.options.xaiToken) {
|
||||
this.xaiProvider = new XAIProvider({
|
||||
xaiToken: this.options.xaiToken,
|
||||
});
|
||||
await this.xaiProvider.start();
|
||||
}
|
||||
if (this.options.ollama) {
|
||||
this.ollamaProvider = new OllamaProvider({
|
||||
baseUrl: this.options.ollama.baseUrl,
|
||||
model: this.options.ollama.model,
|
||||
visionModel: this.options.ollama.visionModel,
|
||||
});
|
||||
await this.ollamaProvider.start();
|
||||
}
|
||||
if (this.options.exo) {
|
||||
this.exoProvider = new ExoProvider({
|
||||
exoBaseUrl: this.options.exo.baseUrl,
|
||||
apiKey: this.options.exo.apiKey,
|
||||
});
|
||||
await this.exoProvider.start();
|
||||
}
|
||||
}
|
||||
|
||||
public async stop() {}
|
||||
public async stop() {
|
||||
if (this.openaiProvider) {
|
||||
await this.openaiProvider.stop();
|
||||
}
|
||||
if (this.anthropicProvider) {
|
||||
await this.anthropicProvider.stop();
|
||||
}
|
||||
if (this.perplexityProvider) {
|
||||
await this.perplexityProvider.stop();
|
||||
}
|
||||
if (this.groqProvider) {
|
||||
await this.groqProvider.stop();
|
||||
}
|
||||
if (this.xaiProvider) {
|
||||
await this.xaiProvider.stop();
|
||||
}
|
||||
if (this.ollamaProvider) {
|
||||
await this.ollamaProvider.stop();
|
||||
}
|
||||
if (this.exoProvider) {
|
||||
await this.exoProvider.stop();
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* create a new conversation
|
||||
*/
|
||||
createConversation(provider: TProvider) {
|
||||
switch (provider) {
|
||||
case 'exo':
|
||||
return Conversation.createWithExo(this);
|
||||
case 'openai':
|
||||
return Conversation.createWithOpenAi(this);
|
||||
case 'anthropic':
|
||||
@@ -55,6 +130,10 @@ export class SmartAi {
|
||||
return Conversation.createWithPerplexity(this);
|
||||
case 'ollama':
|
||||
return Conversation.createWithOllama(this);
|
||||
case 'groq':
|
||||
return Conversation.createWithGroq(this);
|
||||
case 'xai':
|
||||
return Conversation.createWithXai(this);
|
||||
default:
|
||||
throw new Error('Provider not available');
|
||||
}
|
||||
|
||||
@@ -20,12 +20,15 @@ export class AnthropicProvider extends MultiModalModel {
|
||||
}
|
||||
|
||||
async start() {
|
||||
await super.start();
|
||||
this.anthropicApiClient = new plugins.anthropic.default({
|
||||
apiKey: this.options.anthropicToken,
|
||||
});
|
||||
}
|
||||
|
||||
async stop() {}
|
||||
async stop() {
|
||||
await super.stop();
|
||||
}
|
||||
|
||||
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
|
||||
// Create a TextDecoder to handle incoming chunks
|
||||
@@ -178,11 +181,10 @@ export class AnthropicProvider extends MultiModalModel {
|
||||
messageHistory: ChatMessage[];
|
||||
}): Promise<{ message: any }> {
|
||||
// Convert PDF documents to images using SmartPDF
|
||||
const smartpdfInstance = new plugins.smartpdf.SmartPdf();
|
||||
let documentImageBytesArray: Uint8Array[] = [];
|
||||
|
||||
for (const pdfDocument of optionsArg.pdfDocuments) {
|
||||
const documentImageArray = await smartpdfInstance.convertPDFToPngBytes(pdfDocument);
|
||||
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
|
||||
documentImageBytesArray = documentImageBytesArray.concat(documentImageArray);
|
||||
}
|
||||
|
||||
|
||||
128
ts/provider.exo.ts
Normal file
128
ts/provider.exo.ts
Normal file
@@ -0,0 +1,128 @@
|
||||
import * as plugins from './plugins.js';
|
||||
import * as paths from './paths.js';
|
||||
import { MultiModalModel } from './abstract.classes.multimodal.js';
|
||||
import type { ChatOptions, ChatResponse, ChatMessage } from './abstract.classes.multimodal.js';
|
||||
import type { ChatCompletionMessageParam } from 'openai/resources/chat/completions';
|
||||
|
||||
export interface IExoProviderOptions {
|
||||
exoBaseUrl?: string;
|
||||
apiKey?: string;
|
||||
}
|
||||
|
||||
export class ExoProvider extends MultiModalModel {
|
||||
private options: IExoProviderOptions;
|
||||
public openAiApiClient: plugins.openai.default;
|
||||
|
||||
constructor(optionsArg: IExoProviderOptions = {}) {
|
||||
super();
|
||||
this.options = {
|
||||
exoBaseUrl: 'http://localhost:8080/v1', // Default Exo API endpoint
|
||||
...optionsArg
|
||||
};
|
||||
}
|
||||
|
||||
public async start() {
|
||||
this.openAiApiClient = new plugins.openai.default({
|
||||
apiKey: this.options.apiKey || 'not-needed', // Exo might not require an API key for local deployment
|
||||
baseURL: this.options.exoBaseUrl,
|
||||
});
|
||||
}
|
||||
|
||||
public async stop() {}
|
||||
|
||||
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
|
||||
// Create a TextDecoder to handle incoming chunks
|
||||
const decoder = new TextDecoder();
|
||||
let buffer = '';
|
||||
let currentMessage: { role: string; content: string; } | null = null;
|
||||
|
||||
// Create a TransformStream to process the input
|
||||
const transform = new TransformStream<Uint8Array, string>({
|
||||
transform: async (chunk, controller) => {
|
||||
buffer += decoder.decode(chunk, { stream: true });
|
||||
|
||||
// Try to parse complete JSON messages from the buffer
|
||||
while (true) {
|
||||
const newlineIndex = buffer.indexOf('\n');
|
||||
if (newlineIndex === -1) break;
|
||||
|
||||
const line = buffer.slice(0, newlineIndex);
|
||||
buffer = buffer.slice(newlineIndex + 1);
|
||||
|
||||
if (line.trim()) {
|
||||
try {
|
||||
const message = JSON.parse(line);
|
||||
currentMessage = message;
|
||||
|
||||
// Process the message based on its type
|
||||
if (message.type === 'message') {
|
||||
const response = await this.chat({
|
||||
systemMessage: '',
|
||||
userMessage: message.content,
|
||||
messageHistory: [{ role: message.role as 'user' | 'assistant' | 'system', content: message.content }]
|
||||
});
|
||||
|
||||
controller.enqueue(JSON.stringify(response) + '\n');
|
||||
}
|
||||
} catch (error) {
|
||||
console.error('Error processing message:', error);
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
flush(controller) {
|
||||
if (buffer) {
|
||||
try {
|
||||
const message = JSON.parse(buffer);
|
||||
currentMessage = message;
|
||||
} catch (error) {
|
||||
console.error('Error processing remaining buffer:', error);
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
return input.pipeThrough(transform);
|
||||
}
|
||||
|
||||
public async chat(options: ChatOptions): Promise<ChatResponse> {
|
||||
const messages: ChatCompletionMessageParam[] = [
|
||||
{ role: 'system', content: options.systemMessage },
|
||||
...options.messageHistory,
|
||||
{ role: 'user', content: options.userMessage }
|
||||
];
|
||||
|
||||
try {
|
||||
const response = await this.openAiApiClient.chat.completions.create({
|
||||
model: 'local-model', // Exo uses local models
|
||||
messages: messages,
|
||||
stream: false
|
||||
});
|
||||
|
||||
return {
|
||||
role: 'assistant',
|
||||
message: response.choices[0]?.message?.content || ''
|
||||
};
|
||||
} catch (error) {
|
||||
console.error('Error in chat completion:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
|
||||
throw new Error('Audio generation is not supported by Exo provider');
|
||||
}
|
||||
|
||||
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
|
||||
throw new Error('Vision processing is not supported by Exo provider');
|
||||
}
|
||||
|
||||
public async document(optionsArg: {
|
||||
systemMessage: string;
|
||||
userMessage: string;
|
||||
pdfDocuments: Uint8Array[];
|
||||
messageHistory: ChatMessage[];
|
||||
}): Promise<{ message: any }> {
|
||||
throw new Error('Document processing is not supported by Exo provider');
|
||||
}
|
||||
}
|
||||
@@ -32,7 +32,7 @@ export class GroqProvider extends MultiModalModel {
|
||||
|
||||
// Create a TransformStream to process the input
|
||||
const transform = new TransformStream<Uint8Array, string>({
|
||||
async transform(chunk, controller) {
|
||||
transform: async (chunk, controller) => {
|
||||
buffer += decoder.decode(chunk, { stream: true });
|
||||
|
||||
// Try to parse complete JSON messages from the buffer
|
||||
|
||||
@@ -24,6 +24,7 @@ export class OllamaProvider extends MultiModalModel {
|
||||
}
|
||||
|
||||
async start() {
|
||||
await super.start();
|
||||
// Verify Ollama is running
|
||||
try {
|
||||
const response = await fetch(`${this.baseUrl}/api/tags`);
|
||||
@@ -35,7 +36,9 @@ export class OllamaProvider extends MultiModalModel {
|
||||
}
|
||||
}
|
||||
|
||||
async stop() {}
|
||||
async stop() {
|
||||
await super.stop();
|
||||
}
|
||||
|
||||
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
|
||||
// Create a TextDecoder to handle incoming chunks
|
||||
@@ -45,7 +48,7 @@ export class OllamaProvider extends MultiModalModel {
|
||||
|
||||
// Create a TransformStream to process the input
|
||||
const transform = new TransformStream<Uint8Array, string>({
|
||||
async transform(chunk, controller) {
|
||||
transform: async (chunk, controller) => {
|
||||
buffer += decoder.decode(chunk, { stream: true });
|
||||
|
||||
// Try to parse complete JSON messages from the buffer
|
||||
@@ -205,11 +208,10 @@ export class OllamaProvider extends MultiModalModel {
|
||||
messageHistory: ChatMessage[];
|
||||
}): Promise<{ message: any }> {
|
||||
// Convert PDF documents to images using SmartPDF
|
||||
const smartpdfInstance = new plugins.smartpdf.SmartPdf();
|
||||
let documentImageBytesArray: Uint8Array[] = [];
|
||||
|
||||
for (const pdfDocument of optionsArg.pdfDocuments) {
|
||||
const documentImageArray = await smartpdfInstance.convertPDFToPngBytes(pdfDocument);
|
||||
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
|
||||
documentImageBytesArray = documentImageBytesArray.concat(documentImageArray);
|
||||
}
|
||||
|
||||
|
||||
@@ -1,16 +1,26 @@
|
||||
import * as plugins from './plugins.js';
|
||||
import * as paths from './paths.js';
|
||||
import { Readable } from 'stream';
|
||||
|
||||
// Custom type definition for chat completion messages
|
||||
export type TChatCompletionRequestMessage = {
|
||||
role: "system" | "user" | "assistant";
|
||||
content: string;
|
||||
};
|
||||
|
||||
import { MultiModalModel } from './abstract.classes.multimodal.js';
|
||||
|
||||
export interface IOpenaiProviderOptions {
|
||||
openaiToken: string;
|
||||
chatModel?: string;
|
||||
audioModel?: string;
|
||||
visionModel?: string;
|
||||
// Optionally add more model options (e.g., documentModel) if needed.
|
||||
}
|
||||
|
||||
export class OpenAiProvider extends MultiModalModel {
|
||||
private options: IOpenaiProviderOptions;
|
||||
public openAiApiClient: plugins.openai.default;
|
||||
public smartpdfInstance: plugins.smartpdf.SmartPdf;
|
||||
|
||||
constructor(optionsArg: IOpenaiProviderOptions) {
|
||||
super();
|
||||
@@ -18,24 +28,29 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
}
|
||||
|
||||
public async start() {
|
||||
await super.start();
|
||||
this.openAiApiClient = new plugins.openai.default({
|
||||
apiKey: this.options.openaiToken,
|
||||
dangerouslyAllowBrowser: true,
|
||||
});
|
||||
this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
|
||||
}
|
||||
|
||||
public async stop() {}
|
||||
public async stop() {
|
||||
await super.stop();
|
||||
}
|
||||
|
||||
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
|
||||
// Create a TextDecoder to handle incoming chunks
|
||||
const decoder = new TextDecoder();
|
||||
let buffer = '';
|
||||
let currentMessage: { role: string; content: string; } | null = null;
|
||||
let currentMessage: {
|
||||
role: "function" | "user" | "system" | "assistant" | "tool" | "developer";
|
||||
content: string;
|
||||
} | null = null;
|
||||
|
||||
// Create a TransformStream to process the input
|
||||
const transform = new TransformStream<Uint8Array, string>({
|
||||
async transform(chunk, controller) {
|
||||
transform: async (chunk, controller) => {
|
||||
buffer += decoder.decode(chunk, { stream: true });
|
||||
|
||||
// Try to parse complete JSON messages from the buffer
|
||||
@@ -50,7 +65,7 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
try {
|
||||
const message = JSON.parse(line);
|
||||
currentMessage = {
|
||||
role: message.role || 'user',
|
||||
role: (message.role || 'user') as "function" | "user" | "system" | "assistant" | "tool" | "developer",
|
||||
content: message.content || '',
|
||||
};
|
||||
} catch (e) {
|
||||
@@ -61,20 +76,24 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
|
||||
// If we have a complete message, send it to OpenAI
|
||||
if (currentMessage) {
|
||||
const stream = await this.openAiApiClient.chat.completions.create({
|
||||
model: 'gpt-4',
|
||||
messages: [{ role: currentMessage.role, content: currentMessage.content }],
|
||||
const messageToSend = { role: "user" as const, content: currentMessage.content };
|
||||
const chatModel = this.options.chatModel ?? 'o3-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [messageToSend],
|
||||
stream: true,
|
||||
});
|
||||
|
||||
};
|
||||
// Temperature is omitted since the model does not support it.
|
||||
const stream = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
// Explicitly cast the stream as an async iterable to satisfy TypeScript.
|
||||
const streamAsyncIterable = stream as unknown as AsyncIterableIterator<any>;
|
||||
// Process each chunk from OpenAI
|
||||
for await (const chunk of stream) {
|
||||
for await (const chunk of streamAsyncIterable) {
|
||||
const content = chunk.choices[0]?.delta?.content;
|
||||
if (content) {
|
||||
controller.enqueue(content);
|
||||
}
|
||||
}
|
||||
|
||||
currentMessage = null;
|
||||
}
|
||||
},
|
||||
@@ -104,15 +123,17 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
content: string;
|
||||
}[];
|
||||
}) {
|
||||
const result = await this.openAiApiClient.chat.completions.create({
|
||||
model: 'gpt-4o',
|
||||
|
||||
const chatModel = this.options.chatModel ?? 'o3-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [
|
||||
{ role: 'system', content: optionsArg.systemMessage },
|
||||
...optionsArg.messageHistory,
|
||||
{ role: 'user', content: optionsArg.userMessage },
|
||||
],
|
||||
});
|
||||
};
|
||||
// Temperature parameter removed to avoid unsupported error.
|
||||
const result = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
return {
|
||||
role: result.choices[0].message.role as 'assistant',
|
||||
message: result.choices[0].message.content,
|
||||
@@ -122,14 +143,15 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
public async audio(optionsArg: { message: string }): Promise<NodeJS.ReadableStream> {
|
||||
const done = plugins.smartpromise.defer<NodeJS.ReadableStream>();
|
||||
const result = await this.openAiApiClient.audio.speech.create({
|
||||
model: 'tts-1-hd',
|
||||
model: this.options.audioModel ?? 'tts-1-hd',
|
||||
input: optionsArg.message,
|
||||
voice: 'nova',
|
||||
response_format: 'mp3',
|
||||
speed: 1,
|
||||
});
|
||||
const stream = result.body;
|
||||
done.resolve(stream);
|
||||
const nodeStream = Readable.fromWeb(stream as any);
|
||||
done.resolve(nodeStream);
|
||||
return done.promise;
|
||||
}
|
||||
|
||||
@@ -144,6 +166,7 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
}) {
|
||||
let pdfDocumentImageBytesArray: Uint8Array[] = [];
|
||||
|
||||
// Convert each PDF into one or more image byte arrays.
|
||||
for (const pdfDocument of optionsArg.pdfDocuments) {
|
||||
const documentImageArray = await this.smartpdfInstance.convertPDFToPngBytes(pdfDocument);
|
||||
pdfDocumentImageBytesArray = pdfDocumentImageBytesArray.concat(documentImageArray);
|
||||
@@ -152,19 +175,18 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
console.log(`image smartfile array`);
|
||||
console.log(pdfDocumentImageBytesArray.map((smartfile) => smartfile.length));
|
||||
|
||||
const smartfileArray = await plugins.smartarray.map(
|
||||
pdfDocumentImageBytesArray,
|
||||
async (pdfDocumentImageBytes) => {
|
||||
return plugins.smartfile.SmartFile.fromBuffer(
|
||||
'pdfDocumentImage.jpg',
|
||||
Buffer.from(pdfDocumentImageBytes)
|
||||
);
|
||||
}
|
||||
);
|
||||
// Filter out any empty buffers to avoid sending invalid image URLs.
|
||||
const validImageBytesArray = pdfDocumentImageBytesArray.filter(imageBytes => imageBytes && imageBytes.length > 0);
|
||||
const imageAttachments = validImageBytesArray.map(imageBytes => ({
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: 'data:image/png;base64,' + Buffer.from(imageBytes).toString('base64'),
|
||||
},
|
||||
}));
|
||||
|
||||
const result = await this.openAiApiClient.chat.completions.create({
|
||||
model: 'gpt-4o',
|
||||
// response_format: { type: "json_object" }, // not supported for now
|
||||
const chatModel = this.options.chatModel ?? 'o4-mini';
|
||||
const requestParams: any = {
|
||||
model: chatModel,
|
||||
messages: [
|
||||
{ role: 'system', content: optionsArg.systemMessage },
|
||||
...optionsArg.messageHistory,
|
||||
@@ -172,30 +194,22 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
role: 'user',
|
||||
content: [
|
||||
{ type: 'text', text: optionsArg.userMessage },
|
||||
...(() => {
|
||||
const returnArray = [];
|
||||
for (const imageBytes of pdfDocumentImageBytesArray) {
|
||||
returnArray.push({
|
||||
type: 'image_url',
|
||||
image_url: {
|
||||
url: 'data:image/png;base64,' + Buffer.from(imageBytes).toString('base64'),
|
||||
},
|
||||
});
|
||||
}
|
||||
return returnArray;
|
||||
})(),
|
||||
...imageAttachments,
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
};
|
||||
// Temperature parameter removed.
|
||||
const result = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
return {
|
||||
message: result.choices[0].message,
|
||||
};
|
||||
}
|
||||
|
||||
public async vision(optionsArg: { image: Buffer; prompt: string }): Promise<string> {
|
||||
const result = await this.openAiApiClient.chat.completions.create({
|
||||
model: 'gpt-4-vision-preview',
|
||||
const visionModel = this.options.visionModel ?? '04-mini';
|
||||
const requestParams: any = {
|
||||
model: visionModel,
|
||||
messages: [
|
||||
{
|
||||
role: 'user',
|
||||
@@ -211,8 +225,8 @@ export class OpenAiProvider extends MultiModalModel {
|
||||
}
|
||||
],
|
||||
max_tokens: 300
|
||||
});
|
||||
|
||||
};
|
||||
const result = await this.openAiApiClient.chat.completions.create(requestParams);
|
||||
return result.choices[0].message.content || '';
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -11,7 +11,6 @@ export interface IXAIProviderOptions {
|
||||
export class XAIProvider extends MultiModalModel {
|
||||
private options: IXAIProviderOptions;
|
||||
public openAiApiClient: plugins.openai.default;
|
||||
public smartpdfInstance: plugins.smartpdf.SmartPdf;
|
||||
|
||||
constructor(optionsArg: IXAIProviderOptions) {
|
||||
super();
|
||||
@@ -19,14 +18,16 @@ export class XAIProvider extends MultiModalModel {
|
||||
}
|
||||
|
||||
public async start() {
|
||||
await super.start();
|
||||
this.openAiApiClient = new plugins.openai.default({
|
||||
apiKey: this.options.xaiToken,
|
||||
baseURL: 'https://api.x.ai/v1',
|
||||
});
|
||||
this.smartpdfInstance = new plugins.smartpdf.SmartPdf();
|
||||
}
|
||||
|
||||
public async stop() {}
|
||||
public async stop() {
|
||||
await super.stop();
|
||||
}
|
||||
|
||||
public async chatStream(input: ReadableStream<Uint8Array>): Promise<ReadableStream<string>> {
|
||||
// Create a TextDecoder to handle incoming chunks
|
||||
|
||||
Reference in New Issue
Block a user